Context-Aware Search System for Media Content Identification
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Solution Overview
Problem
Users face a time-consuming process when trying to find information about a movie or TV program they are watching, as they need to identify the program and search for relevant details, often missing parts of the content or disrupting their viewing experience.
Innovation Solution
A method and system that receive a query related to media being presented, identify the program, determine contextually relevant keywords, and provide search results based on these keywords, allowing users to access information without leaving their viewing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users perform multiple steps to find information about a program (identify program, search using search engine, comb through results), then they can obtain information about the program, but the process is time-consuming and disrupts the viewing experience
Solution Approach 1:
The system performs preliminary actions by automatically identifying the program being watched and pre-processing relevant information before the user needs it. When a user asks a question about the program, the system has already gathered and organized contextually relevant information, eliminating the need for users to manually search and filter through results.
Solution Approach 2:
The system acts as an intermediary between the user and the information sources. Instead of users directly searching multiple databases and filtering results, the system mediates by automatically querying relevant databases, processing the information, and presenting filtered results that are directly relevant to the user's question about the program.
2Productivity
If users manually search for program information using search engines, then they can find relevant details, but they must comb through potentially irrelevant search results which reduces efficiency
Solution Approach 1:
The system applies local quality by providing information that is specifically tailored to the local context of the user's question and the specific portion of the program being watched. Instead of returning generic search results, the system filters and prioritizes information that is locally relevant to the user's immediate needs, such as details about a specific scene, character, or plot point.
Solution Approach 2:
The system changes the parameters of the search process by using contextual information from the user's question and the program being watched to dynamically adjust search queries and result filtering. This includes using audio fingerprinting to identify the program, analyzing the user's question for key entities, and weighting search results based on their relevance to the specific context, thereby improving both efficiency and relevance.
3Reliability
If the system provides detailed search results about the program, then users can find comprehensive information, but the system must process and filter through multiple databases and sources which increases system complexity
Solution Approach 1:
The system segments the information processing task into distinct modules: audio fingerprinting for program identification, natural language processing for question analysis, database querying for information retrieval, and result filtering for relevance ranking. This segmentation allows each module to specialize in a specific function, improving overall system reliability while making the complexity more manageable through modular design.
Data Source
AI summary
Methods, systems, and media for generating search results based on contextual information are provided. In some implementations, a method for presenting search results is provided, the method comprising: receiving, using a hardware processor, a query related to media that is currently being presented; identifying a program that is currently being presented; identifying a plurality of keywords associated with the identified program; determining one or more of the plurality of keywords that are contextually relevant to the query; obtaining a plurality of search results based on the query and the one or more contextually relevant keywords; and causing at least one of the plurality of search results to be presented to the user.